Fernando Villavicencio

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Junichi YamagishiNational Institute of Informatics, Tokyo, JapanVerified email at nii.ac.jp
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Axel RoebelIRCAM (STMS Laboratory)Verified email at ircam.fr
Jaime Lorenzo-TruebaAssembly AIVerified email at assemblyai.com
Zhen-Hua Ling（凌震华）Professor, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Tomi KinnunenProfessor, University of Eastern FinlandVerified email at uef.fi
Mirjam WesterIOG (IOHK) & University of EdinburghVerified email at inf.ed.ac.uk
Zhizheng WuThe Chinese University of Hong Kong, Shenzhen, Mel LabVerified email at cuhk.edu.cn
Ling-Hui ChenUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Tomoko MatsuiInstitute of Statistical MathematicsVerified email at ism.ac.jp
Nobutaka OnoProfessor, Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
Sayaka ShiotaTokyo Metropolitan UniversityVerified email at tmu.ac.jp
Isao EchizenNational Institute of Informatics / University of Tokyo / SOKENDAIVerified email at nii.ac.jp
Pierre LanchantinLead Research Scientist in Speech TechnologyVerified email at transperfect.com
Michael PucherSenior Researcher, ÖFAI; Senior Speech Technologist, RecognoscoVerified email at tugraz.at
Esteban MaestreResearch Associate, McGill UniversityVerified email at ccrma.stanford.edu
Gilles DegottexResearch & DevelopmentVerified email at csd.uoc.gr
Nicolas ObinIrcam, Sorbonne UniversitéVerified email at ircam.fr
Graham ColemanUniversitat Pompeu FabraVerified email at upf.edu
Thomas HueberGIPSA-lab, CNRS, Grenoble Alpes Univ.Verified email at gipsa-lab.grenoble-inp.fr

Fernando Villavicencio

Speech Scientist

Verified email at deepzen.io - Homepage

Speech Synthesis Voice Transformation Voice Conversion Singing Voice Speaker Verification


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The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, F Villavicencio, ... arXiv preprint arXiv:1804.04262, 2018	385	2018
The Voice Conversion Challenge 2016. T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi Interspeech, 1632-1636, 2016	235	2016
Voice liveness detection algorithms based on pop noise caused by human breath for automatic speaker verification. S Shiota, F Villavicencio, J Yamagishi, N Ono, I Echizen, T Matsui INTERSPEECH, 239-243, 2015	105	2015
Improving LPC spectral envelope extraction of voiced speech by true-envelope estimation F Villavicencio, A Robel, X Rodet 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006	96	2006
Applying voice conversion to concatenative singing-voice synthesis. F Villavicencio, J Bonada Interspeech, 2162-2165, 2010	88	2010
On cepstral and all-pole based spectral envelope modeling with unknown model order A Röbel, F Villavicencio, X Rodet Pattern Recognition Letters 28 (11), 1343-1350, 2007	76	2007
Voice liveness detection for speaker verification based on a tandem single/double-channel pop noise detector S Shiota, F Villavicencio, J Yamagishi, N Ono, I Echizen, T Matsui Odyssey 2016, 259-263, 2016	48*	2016
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment T Kinnunen, J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, ... arXiv preprint arXiv:1804.08438, 2018	29	2018
Applying improved spectral modeling for high quality voice conversion F Villavicencio, A Robel, X Rodet 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009	25	2009
Extending efficient spectral envelope modeling to mel-frequency based representation F Villavicencio, A Robel, X Rodet 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	21	2008
Deep domain adaptation for anti-spoofing in speaker verification systems I Himawan, F Villavicencio, S Sridharan, C Fookes Computer Speech & Language 58, 377-402, 2019	16	2019
Multidimensional scaling of systems in the Voice Conversion Challenge 2016. M Wester, Z Wu, J Yamagishi SSW, 38-43, 2016	13	2016
Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy F Villavicencio, J Bonada, J Yamagishi, M Pucher IEICE Technical Report, 2015	11	2015
Voice processing device F Villavicencio US Patent App. 13/232,950, 2011	11*	2011
All-pole spectral envelope modelling with order selection for harmonic signals F Villavicencio, A Robel, X Rodet 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007	10	2007
Voice processing apparatus F Villavicencio, J Bonada US Patent App. 13/896,192, 2013	8	2013
The Voice Conversion Challenge 2018: database and results T Toda, D Saito, Z Ling, F Villavicencio, J Yamagishi, J Lorenzo-Trueba, ... The Centre for Speech Technology Research, The University of Edinburgh, UK, 2018	7*	2018
GMM-PCA based speaker-timbre conversion on full-quality speech. F Villavicencio, E Maestre SSW, 56-61, 2010	7	2010
Enhanced virtual singers generation by incorporating singing dynamics to personalized text-to-speech-to-singing K Kaewtip, F Villavicencio, FY Kuo, M Harvilla, I Ouyang, P Lanchantin ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	6	2019
Global frequency-warping transformation estimation for voice timbre approximation F Villavicencio, M Harvilla US Patent 10,706,867, 2020	5	2020

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